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Demo: Environment for Generic In-vehicular Network Experiments - EnGINE

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Self driving cars bring new challenges to intravehicular networks (IVNs), such as increased bandwidth and the need for more powerful computation. To solve these challenges, in recent years, the IVNs started shifting towards the use of Ethernet, which with IEEE Time-Sensitive Networking standards can support deterministic behavior required for these networks. To evaluate the application of Ethernet in IVNs, we introduce novel approach called EnGINE - an Environment for Generic Invehicular Networking Experiments. The environment is based on commercial off-the-shelf components and open-source software. In this work we present EnGINE and showcase an exemplary use-case it can support.

Original languageEnglish
Title of host publication2021 IEEE Vehicular Networking Conference, VNC 2021
EditorsFrank Kargl, Onur Altintas, Christoph Sommer, Takamasa Higuchi, Florian Klingler
PublisherIEEE Computer Society
Pages117-118
Number of pages2
ISBN (Electronic)9781665444507
DOIs
StatePublished - 2021
Event13th IEEE Vehicular Networking Conference, VNC 2021 - Virtual, Online, Germany
Duration: 10 Nov 202112 Nov 2021

Publication series

NameIEEE Vehicular Networking Conference, VNC
Volume2021-November
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865

Conference

Conference13th IEEE Vehicular Networking Conference, VNC 2021
Country/TerritoryGermany
CityVirtual, Online
Period10/11/2112/11/21

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